MacBook Pro (13-inch, 2022)
Geekbench ML Score
3668
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 19 2025 06:26 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5346a) |
| Model | MacBook Pro (13-inch, 2022) |
| Model ID | Mac14,7 |
| Motherboard | Mac14,7 |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M2 |
| Base Frequency | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1337
250.1 IPS |
|
|
Image Classification (F16)
|
100% |
2325
435.1 IPS |
|
|
Image Classification (I8)
|
99% |
2283
427.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
755
12.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1110
18.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1087
18.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
6618
8.01 IPS |
|
|
Pose Estimation (F16)
|
100% |
14498
17.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
14596
17.7 IPS |
|
|
Object Detection (F32)
|
100% |
1452
108.4 IPS |
|
|
Object Detection (F16)
|
100% |
2247
167.7 IPS |
|
|
Object Detection (I8)
|
97% |
1452
108.4 IPS |
|
|
Face Detection (F32)
|
100% |
3114
37.0 IPS |
|
|
Face Detection (F16)
|
97% |
5869
69.8 IPS |
|
|
Face Detection (I8)
|
96% |
5704
67.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
5596
43.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
10841
84.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
10904
84.6 IPS |
|
|
Style Transfer (F32)
|
100% |
17602
23.2 IPS |
|
|
Style Transfer (F16)
|
100% |
27627
36.3 IPS |
|
|
Style Transfer (I8)
|
100% |
28212
37.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4141
147.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5174
184.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3719
132.8 IPS |
|
|
Text Classification (F32)
|
100% |
675
969.9 IPS |
|
|
Text Classification (F16)
|
100% |
3538
5.08 KIPS |
|
|
Text Classification (I8)
|
96% |
3538
5.09 KIPS |
|
|
Machine Translation (F32)
|
100% |
1391
25.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1662
30.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1366
25.1 IPS |
